Elsevier

Journal of Biomechanics

Volume 36, Issue 10, October 2003, Pages 1461-1467
Journal of Biomechanics

The dependence of the elastic properties of osteoporotic cancellous bone on volume fraction and fabric

https://doi.org/10.1016/S0021-9290(03)00125-8Get rights and content

Abstract

Osteoporosis is a progressive systemic skeletal condition characterized by low bone mass and microarchitectural deterioration, with a consequent increase in susceptibility to fracture. Hence, osteoporosis would be best diagnosed by in vivo measurements of bone strength. As this is not clinically feasible, our goal is to estimate bone strength through the assessment of elastic properties, which are highly correlated to strength. Previously established relations between morphological parameters (volume fraction and fabric) and elastic constants could be applied to estimate cancellous bone stiffness in vivo. However, these relations were determined for normal cancellous bone. Cancellous bone from osteoporotic patients may require different relations. In this study we set out to answer two questions. First, can the elastic properties of osteoporotic cancellous bone be estimated from morphological parameters? Second, do the relations between morphological parameters and elastic constants, determined for normal bone, apply to osteoporotic bone as well? To answer these questions we used cancellous bone cubes from femoral heads of patients with (n=26) and without (n=32) hip fractures. The elastic properties of the cubes were determined using micro-finite element analysis, assuming equal tissue moduli for all specimens. The morphological parameters were determined using microcomputed tomography. Our results showed that, for equal tissue properties, the elastic properties of cancellous bone from fracture patients could indeed be estimated from morphological parameters. The morphology-based relations used to estimate the elastic properties of cancellous bone are not different for women with or without fractures.

Introduction

Osteoporosis is a progressive systemic skeletal condition characterized by low bone mass and microarchitectural deterioration, with a consequent increase in susceptibility to fracture (Conference Report, 1993). Hence, osteoporosis would be best diagnosed by in vivo measurements of bone strength. As this is not clinically feasible, our goal is to estimate bone strength through the assessment of its elastic properties, which are highly correlated to strength (R2⩾0.95, Hodgskinson and Currey, 1993; Goulet et al., 1994; Hou et al., 1998).

The apparent elastic properties of cancellous bone depend on bone density (volume fraction), cancellous architecture, and the tissue modulus. Experimental studies have revealed that bone density or volume fraction alone can explain 70–80% of the variance in mechanical properties (Keaveny et al., 1994; Goulet et al., 1994; Hou et al., 1998). Although osteoporosis is characterized by low bone density, it cannot clearly discriminate between bone from individuals with and without fractures (Melton et al., 1989). As osteoporosis is also characterized by deterioration of the cancellous architecture, it may be helpful to estimate the mechanical properties not only through bone density, but also through cancellous architecture. Incorporation of the tissue modulus, although not affected by osteoporosis (Homminga et al., 2002), may further improve the estimate. A good estimate of the mechanical properties that incorporates both bone density and cancellous bone architecture has been published by Cowin.

In 1985, Cowin proposed relations between the morphological parameters (volume fraction and fabric), on the one hand, and the apparent elastic properties on the other. These relations were later shown to explain over 90% of the variance in the apparent elastic properties (Turner et al., 1990; van-Rietbergen et al., 1998; Kabel et al., 1999b). These relations between morphological parameters and elastic properties could, in theory, be applied to estimate cancellous bone stiffness in vivo. However, none of these relations were determined for cancellous bone from patients with osteoporotic fractures. Different relations may be needed for cancellous bone from these patients.

This raises two questions. First, can the elastic properties of osteoporotic cancellous bone be estimated from morphological parameters? Second, do the relations between morphological parameters and elastic constants, that were determined for normal bone, apply to osteoporotic bone as well?.

Section snippets

Strategy

To test our first research question, whether the elastic properties of osteoporotic cancellous bone could be estimated from morphological parameters using the relations proposed by Cowin (1985), we determined relations between morphology and stiffness for our fracture samples. These relations were then used to estimate the elastic properties of each fracture sample. Estimated elastic properties were correlated to those calculated by micro-finite element analysis (μFEA).

To test our second

Results

When the values for the constants kij that resulted from the fit on the data of our fracture samples were used to estimate stiffness, the correlation coefficients between the calculated and estimated Ciiii, Ciijj, and Cijij stiffness entries were 0.98, 0.95, and 0.94, respectively. The SEE were 6.0, 2.1, and 2.3, respectively (Table 1A, Table 2, Fig. 2). When the values for the constants kij that resulted from the fit on the data of our control samples were used to estimate stiffness, the

Discussion

The first question we wanted to answer was whether the elastic properties of osteoporotic cancellous bone could be estimated from morphological parameters. Our results showed that this was the case. Morphology could explain 94–96% of the variance in the Ciiii-entries and 90–94% of the variance in the other elastic properties of the cancellous bone from our fracture group. The second question we wanted to answer was whether osteoporotic bone requires relations that differ from those for normal

Acknowledgements

We thank Dr. Steve Goldstein and Dr. Traci Ciarelli for providing the μCT-data. We thank MSc. Gerjon Hannink for his help with the statistical analyses. We acknowledge the contribution of the Dutch National Computing Facilities Foundation (NCF) and the National Institutes of Health (USA) AR34399.

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